
An API driven by Google's AI capabilities enables precise transformation of spoken language into written text. This technology enhances your content with accurate captions, improves the user experience through voice-activated features, and provides valuable analysis of customer interactions that can lead to better service. Utilizing cutting-edge algorithms from Google's deep learning neural networks, this automatic speech recognition (ASR) system stands out as one of the most sophisticated available. The Speech-to-Text service supports a variety of applications, allowing for the creation, management, and customization of tailored resources. You have the flexibility to implement speech recognition solutions wherever needed, whether in the cloud via the API or on-premises with Speech-to-Text O-Prem. Additionally, it offers the ability to customize the recognition process to accommodate industry-specific jargon or uncommon vocabulary. The system also automates the conversion of spoken figures into addresses, years, and currencies. With an intuitive user interface, experimenting with your speech audio becomes a seamless process, opening up new possibilities for innovation and efficiency. This robust tool invites users to explore its capabilities and integrate them into their projects with ease.
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Manual call center QA covers 1 to 5% of interactions. The other 95% goes unreviewed. QEval closes that gap with AI-powered quality assurance that scores every voice, chat, and email interaction automatically.
The platform combines speech analytics, sentiment analysis, compliance monitoring, keyword detection, automated evaluation workflows, agent coaching tools, gamification, and 110+ analytics dashboards. Compliance includes PCI, HIPAA, and GDPR at 98% accuracy with real-time violation alerts. The scoring engine is trained on 138M+ contact center interactions and delivers 94% classification accuracy.
Organizations deploy QEval in 30 days, three to four times faster than typical quality monitoring platforms. Etech Global Services developed QEval through 20+ years of operating contact centers for Fortune 500 clients in healthcare, telecom, retail, banking, and BPO. ISO 27001, SOC 2, PCI-DSS certified. Built for QA managers, CX directors, and operations leaders replacing manual QA.
Additional capabilities include call recording and playback, screen capture for desktop activity review, customizable evaluation scorecards, QA calibration sessions to ensure scoring consistency across evaluators, and dispute management workflows for agents to challenge scores. The platform supports omnichannel quality monitoring with unified scoring across phone, chat, email, and social media interactions.
Supervisors access real-time dashboards to monitor live calls and intervene when needed. Automated alerts flag compliance risks, negative sentiment spikes, and performance drops instantly. Role-based permissions, audit logging, and end-to-end encryption meet enterprise security requirements. QEval connects with CRM, ACD, workforce management, and telephony systems through API integrations. Multi-site and multilingual support enables centralized QA management across geographically distributed contact center operations.
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Retell AI
Retell AI is an innovative platform tailored to assist organizations in creating, testing, launching, and managing AI-powered voice agents, significantly improving customer interactions. It features capabilities like transferring calls, managing appointments, and integrating knowledge bases seamlessly, which allows for the production of lifelike conversations with minimal latency. The platform is designed to work with various telephony systems and offers support for multiple languages, making it particularly suitable for global enterprises. With its scalable architecture, Retell AI ensures reliable performance while effectively handling large volumes of calls. Additionally, it provides robust monitoring tools that evaluate call efficiency and customer sentiment, promoting continuous improvements in voice agents and aiding in a deeper understanding of customer preferences. This all-encompassing strategy enables businesses to adapt swiftly and succeed in an ever-evolving digital environment, ensuring they remain competitive and responsive to market changes. With Retell AI, organizations can harness the full potential of AI technology to enhance their customer service experience.
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Assistable
Assistable serves as an all-encompassing AI conversation platform that streamlines the creation, testing, deployment, and monitoring of hybrid AI agents, which can handle interactions across calls, texts, WhatsApp messages, and web chats while maintaining a cohesive memory throughout all communication channels. These agents adeptly oversee entire customer conversations, discern intent, retrieve necessary information, qualify leads, and execute tasks like booking, rescheduling, or canceling appointments, in addition to generating support tickets, updating customer information, adding notes and tasks, and escalating matters to human agents as required. With the continuity of memory across different platforms, customers can start a dialogue via phone and effortlessly switch to text or chat later without needing to reiterate previous exchanges, enhancing their experience. Users can simply describe the functionalities they wish for an agent in plain English, link Assistable through MCP, and the platform will automatically create the agent, integrate necessary tools, connect various communication channels, and assign a phone number. Additionally, these agents possess the capability to check real-time calendar availability, follow up with prospective leads, and manage both incoming and outgoing conversations, thus ensuring a smooth customer experience throughout every interaction. This adaptability empowers businesses to effectively address customer inquiries while boosting engagement across multiple communication mediums, ultimately contributing to improved customer satisfaction and loyalty.
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